Uwe Schmidt

Uwe Schmidt

Max Planck Institute of
Molecular Cell Biology and Genetics
Pfotenhauerstr. 108
01307 Dresden, Germany



E-Mail: research AT uweschmidt DOT org

I did my PhD at TU Darmstadt within the Visual Inference Group supervised by Stefan Roth. I am now with the Myers Lab at the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) / Center for Systems Biology Dresden (CSBD) and until 2017 was also affiliated with Carsten Rother's group at TU Dresden (now Visual Learning Lab Heidelberg).

Here's my CV and Google scholar profile.

Publications

Uwe Schmidt, Martin Weigert, Coleman Broaddus, and Gene Myers. Cell Detection with Star-convex Polygons. International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Granada, Spain, September 2018. To appear.
PreprintPython code on GitHub

Jakob Kruse, Carsten Rother, and Uwe Schmidt. Learning to Push the Limits of Efficient FFT-based Image Deconvolution. In Proc. of the IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017. Spotlight presentation.
PaperSupplemental materialPosterConference videoPython code on GitHub

Uwe Schmidt, Jeremy Jancsary, Sebastian Nowozin, Stefan Roth, and Carsten Rother. Cascades of Regression Tree Fields for Image Restoration. IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), volume 38, issue 4, pages 677–689, April 2016.
Open Access

Uwe Schmidt and Stefan Roth. Shrinkage Fields for Effective Image Restoration. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, Ohio, June 2014. Oral presentation.
PaperSupplemental materialSlidesConference videoTeaser videoMATLAB code on GitHub

Uwe Schmidt, Carsten Rother, Sebastian Nowozin, Jeremy Jancsary, and Stefan Roth. Discriminative Non-blind Deblurring. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, June 2013. Oral presentation. Best Student Paper Award.
PaperSlidesPosterC++ code

Thorsten Franzel, Uwe Schmidt, and Stefan Roth. Object Detection in Multi-View X-Ray Images. In Joint Pattern Recognition Symposium (34th DAGM, 36th OAGM), Graz, Austria, August 2012. Oral presentation.
Paper

Uwe Schmidt and Stefan Roth. Learning Rotation-Aware Features: From Invariant Priors to Equivariant Descriptors. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Providence, Rhode Island, June 2012. Oral presentation.
PaperSupplemental materialSlidesConference videoMATLAB code

Uwe Schmidt, Kevin Schelten, and Stefan Roth. Bayesian Deblurring with Integrated Noise Estimation. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, Colorado, June 2011.
PaperPosterMATLAB code

Uwe Schmidt, Qi Gao, and Stefan Roth. A Generative Perspective on MRFs in Low-Level Vision. In Proc. of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, California, June 2010. Oral presentation.
PaperSupplemental materialSlidesPosterConference videoMATLAB code

Jussi Kangasharju, Uwe Schmidt, Dirk Bradler, and Julian Schröder-Bernhardi. ChunkSim: Simulating Peer-to-Peer Content Distribution. In Communications and Networking Simulation Symposium, 2007.

Theses

Half-quadratic Inference and Learning for Natural Images. Supervisor: Stefan Roth
Ph.D. thesis

Learning and Evaluating Markov Random Fields for Natural Images. Supervisor: Stefan Roth
M.Sc. thesis

Copyright Notice

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